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Mostrando ítems 71-80 de 760
Artículo
A Multiparty Coordination Aspect Language
(ACM Digital Library, 2000)
Coordination languages were motivated by an ever-increasing need for producing highly-reusable components, which can be partially achieved by implementing them in a way that is independent of the way they interact. Isolating ...
Artículo
TAPON: a two-phase machine learning approach for semantic labelling
(Elsevier, 2019-01-01)
Through semantic labelling we enrich structured information from sources such as HTML pages, tables, or JSON files, with labels to integrate it into a local ontology. This process involves measuring some features of the ...
Artículo
An Overview of Dynamic Software Product Line Architectures and Techniques: Observations from Research and Industry
(Elsevier, 2014)
Over the last two decades, software product lines have been used successfully in industry for buildingfamilies of systems of related products, maximizing reuse, and exploiting their variable and configurableoptions. In a ...
Artículo
CSP aplicados a la diagnosis basada en modelos
(Asociación Española para la Inteligencia Artificial, 2003)
En las ´ultimas d´ecadas, parte de la comunidad cient´ıfica ha dedicado sus esfuerzos al desarrollo de una metodolog´ıa para la diagnosis de sistemas desde el campo de la Inteligencia Artificial. Dicha metodolog´ıa ...
Artículo
A Survey on Energy Expenditure Estimation Using Wearable Devices
(ACM, 2020-09)
Human Energy Expenditure (EE) is a valuable tool for measuring physical activity and its impact on our body in an objective way. To accurately measure the EE, there are methods such as doubly labeled water and direct and ...
Artículo
Bullfighting extreme scenarios in efficient hyper-scale cluster computing
(Springer, 2020)
Data centres are quickly evolving to support new demands for Cloud-Computing services. Extreme workload peaks represent a challenge for the maintenance of the performance and service level agreements, even more when ...
Artículo
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems
(Elsevier, 2013)
This paper combines feature selection methods with a two-stage evolutionary classifier based on product unit neural networks. The enhanced methodology has been tried out with four filters using 18 data sets that report ...
Artículo
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams
(Graz University of Technology, Institut für Informationssysteme und Computer Medie, 2005)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up–to–date border ...
Artículo
Generating non-conspiratorial executions
(Elsevier, 2007)
Avoiding conspiratorial executions is useful for debugging, model checking or refinement, and helps implement several wellknown problems in faulty environments; furthermore, avoiding non-equivalence robust executions ...
Artículo
Early Evaluation of Mobile Applications’ Resource Consumption and Operating Costs
(IEEE Computer Society, 2020)
The explosive growth of the mobile application market in recent years has led to a large concomitant mobile software industry whose components are, in many cases, startups and small-size software providers. The success ...